Abstract
Local governments in Republic of Korea provide local mobility services (e.g., taxis and buses) for transportation vulnerable areas with limited access to mass public transit. However, the losses incurred by the operation of these local mobility services have led to the fiscal burden for subsidizing the local mobility services. To address this problem, autonomous mobility service is emerging as an alternative mode of transportation that can reduce the operating costs for the local mobility services (e.g., labor and fuel costs). This study proposes a step-by-step strategy for introducing autonomous mobility services in Gyeonggi Province, where there are a number of transportation vulnerable areas mainly due to geographical disparities. First, this study applied the Gaussian mixture model (GMM) to classify the transportation vulnerable areas, and the areas were clustered into four classes. Then, the strategy for introducing the autonomous mobility service target to each of the transportation vulnerable areas classified. Finally, the strategy was evaluated by checking them against the actual status of mobility service. The result derived from our proposed methodology contain 4 clusters with the order of introducing autonomous mobility services and is verified with the current status of welfare public transportation.
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This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1C1C1003296).
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Seo, Y., Lim, D., Kim, J. et al. Strategy for Introducing Autonomous Driving Mobility Service in Transportation Vulnerable Areas: A Case Study of Gyeonggi Province in Republic of Korea. KSCE J Civ Eng 26, 4793–4804 (2022). https://doi.org/10.1007/s12205-022-0248-5
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DOI: https://doi.org/10.1007/s12205-022-0248-5